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Random Structures and Algorithms
Article . 2009 . Peer-reviewed
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Equitable coloring of random graphs

Authors: Michael Krivelevich; Balázs Patkós;

Equitable coloring of random graphs

Abstract

AbstractAn equitable coloring of a graph is a proper vertex coloring such that the sizes of any two color classes differ by at most one. The least positive integer k for which there exists an equitable coloring of a graph G with k colors is said to be the equitable chromatic number of G and is denoted by χ=(G). The least positive integer k such that for any k′ ≥ k there exists an equitable coloring of a graph G with k′ colors is said to be the equitable chromatic threshold of G and is denoted by χ=*(G). In this paper, we investigate the asymptotic behavior of these coloring parameters in the probability space G(n,p) of random graphs. We prove that if n−1/5+ϵ < p < 0.99 for some 0 < ϵ, then almost surely χ(G(n,p)) ≤ χ=(G(n,p)) = (1 + o(1))χ(G(n,p)) holds (where χ(G(n,p)) is the ordinary chromatic number of G(n,p)). We also show that there exists a constant C such that if C/n < p < 0.99, then almost surely χ(G(n,p)) ≤ χ=(G(n,p)) ≤ (2 + o(1))χ(G(n,p)). Concerning the equitable chromatic threshold, we prove that if n−(1−ϵ) < p < 0.99 for some 0 < ϵ, then almost surely χ(G(n,p)) ≤ χ=* (G(n,p)) ≤ (2 + o(1))χ(G(n,p)) holds, and if ${{\log^{1+\epsilon}n}\over {n}}$ < p < 0.99 for some 0 < ϵ, then almost surely we have χ(G(n,p)) ≤ χ=*(G(n,p)) = Oϵ(χ(G(n,p))). © 2009 Wiley Periodicals, Inc. Random Struct. Alg., 2009

Related Organizations
Keywords

equitable coloring, Coloring of graphs and hypergraphs, Random graphs (graph-theoretic aspects), graph coloring, random graphs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
bronze